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Invert Polarity 0c68969e 01e9 494e B4ee 7b3a6d8153e5 model by Muhamad Geosurge
⭐ 39
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Model

Invert Polarity 0c68969e 01e9 494e B4ee 7b3a6d8153e5

by Muhamad Geosurge muhamad-geosurge/invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 78
Q: Quality 65
Tech Context
11.77 Params
8.192K Ctx
Vital Performance
12 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
11.77B Params
8k Context
12 Downloads
24G GPU ~11GB Est. VRAM
Dense GEMMA3FORCAUSALLM Architecture
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID muhamad-geosurge/invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5
License Gemma
Provider huggingface
πŸ’Ύ

Compute Threshold

~10.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{muhamad_geosurge_invert_polarity_0c68969e_01e9_494e_b4ee_7b3a6d8153e5,
  author = {Muhamad Geosurge},
  title = {Invert Polarity 0c68969e 01e9 494e B4ee 7b3a6d8153e5 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/muhamad-geosurge/invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5}},
  note = {Accessed via Free2AITools.}
}
APA Style
Muhamad Geosurge. (2026). Invert Polarity 0c68969e 01e9 494e B4ee 7b3a6d8153e5 [Model]. Free2AITools. https://huggingface.co/muhamad-geosurge/invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5
πŸ€— HF Download
huggingface-cli download muhamad-geosurge/invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 1
Recency (R) 78
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Invert Polarity 0c68969e 01e9 494e B4ee 7b3a6d8153e5: Authority (A:0), Popularity (P:1), Recency (R:78), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
12Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--muhamad-geosurge--invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5
slug
muhamad-geosurge--invert-polarity-0c68969e-01e9-494e-b4ee-7b3a6d8153e5
source
huggingface
author
Muhamad Geosurge
license
Gemma
tags
transformers, safetensors, gemma3_text, text-generation, image-text-to-text, conversational, arxiv:1905.07830, arxiv:1905.10044, arxiv:1911.11641, arxiv:1904.09728, arxiv:1705.03551, arxiv:1911.01547, arxiv:1907.10641, arxiv:1903.00161, arxiv:2009.03300, arxiv:2304.06364, arxiv:2103.03874, arxiv:2110.14168, arxiv:2311.12022, arxiv:2108.07732, arxiv:2107.03374, arxiv:2210.03057, arxiv:2106.03193, arxiv:1910.11856, arxiv:2502.12404, arxiv:2502.21228, arxiv:2404.16816, arxiv:2104.12756, arxiv:2311.

βš™οΈ Technical Specs

architecture
Gemma3ForCausalLM
params billions
11.77
context length
8,192
pipeline tag
image-text-to-text
vram gb
10.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
12

Data indexed from public sources. Updated daily.